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Evaluation of an Efficient Parallel Object Oriented Platform (EPOOP) for control intensive intelligent applications
Conference paper   Peer reviewed

Evaluation of an Efficient Parallel Object Oriented Platform (EPOOP) for control intensive intelligent applications

C.C. Fung, J.B. Li and D.G. Myers
Advances in Machine Learning and Cybernetics, Vol.3930, pp.889-897
4th International Conference on Machine Learning and Cybernetics, ICMLC 2005 (Guangzhou, China, 18/08/2005–21/08/2005)
2006
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Abstract

A small scale distributed computing system that is able to meet the needs of parallel intelligent techniques for engineering and science applications is reported. The system is a cluster of powerful yet low cost general-purpose PCs interconnected in a network. While, most applications written for cluster systems are programmed in MPI-C, results from the proposed system have shown that it is advantageous to use Java due to its simplicity, distribution enabling, and mobility. These results suggest there are advantages in considering a Java-enhanced cluster platform for many engineering and science applications.

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